Responsibilities/Duties:

• Develop and optimize high-performance computing (HPC) software applications tailored for specific scientific or engineering domains.
• Designs new software tools, and refactors existing tools, to take advantage of object-oriented structures and software architecting best practices.
• Develops and implements algorithms which exploit high performance compute clusters.
• Collaborate with domain scientists and researchers to understand their computational needs and translate them into efficient software solutions, ensuring compatibility with existing HPC infrastructure and workflows.
• Works both independently and on small teams; interacts with program office and global customers.
• Participate in code reviews, team meetings, and technical discussions, contributing expertise and insights to enhance the overall quality and effectiveness of HPC software development efforts.
• Contributes to technical reports, user documentation, regular status reports, and other presentations to disseminate findings, guidance, and technical information to as wide an audience as possible.
• Available to travel according to business needs, including attending conferences, workshops, or visiting client sites to provide technical expertise, support, and training as necessary.

Requirements:

• B.Eng. Degree in Computer Engineering, Computer Science, or Related Discipline.
• Proficiency in C and/or C++ programming language or any other OOP languages.
• Knowledge in one or more of the popular scripting languages such as Python, Julia, or R.
• Knowledge in one or more of the parallel libraries/languages such as MPI, OpenMP, OneAPI and CUDA.
• Knowledge in one or more of the following is desirable:

Optimization

Hardware/Software Architecture

High Performance Computing

Data Science

• Knowledge in one of the following areas is a plus:

Numerical solvers and/or numerical methods e.g. Finite Difference/Element/Volume Method.

Basic knowledge of Containers

Basic knowledge of version control

Basic knowledge of CI/CD tools

• Deep understanding of software design, programming techniques, and algorithms.
• Decent level work experience in developing algorithms.
• Excellent communication skills and experience working in a collaborative environment.
• Excellent Command in English written & verbal.